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Adolescent Self-Reflection Process Through Self-Recording on Multiple Health Metrics: Qualitative Study

Adolescent Self-Reflection Process Through Self-Recording on Multiple Health Metrics: Qualitative Study

With the significance of early intervention in addressing mental health challenges, particularly as adolescents develop coping mechanisms for daily stressors and negative emotions, studies have demonstrated the efficacy of digital self-recording in emotional well-being [38-42]. In a case study, a self-recording system increased positive mood and coping strategies in the adult population under stress [43].

Minseo Cho, Doeun Park, Myounglee Choo, Doug Hyun Han, Jinwoo Kim

J Med Internet Res 2025;27:e62962

COVID-19–Related Racism and Mental Health Among Asian Americans: Integrative Review

COVID-19–Related Racism and Mental Health Among Asian Americans: Integrative Review

In June 2021, the National Commission to Address Racism in Nursing defined racism as “assaults on the human spirit in the form of actions, biases, prejudices, and an ideology of superiority based on race that persistently causes moral suffering and physical harm to individuals and perpetuates systemic injustices and inequities” [1].

Tania Von Visger, Amy Lyons, Yanjun Zhou, Kayla Wardlaw, Eunhee Park, Yu-Ping Chang

Asian Pac Isl Nurs J 2025;9:e63769

Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

In addition, real-time inference in clinical settings remains problematic. The difficulty in ensuring that variables reflect the current patient state, coupled with infrequent and inconsistent timing of data collection, impedes real-time monitoring and decision-making in fast-paced clinical environments [23]. Moreover, most existing models rely on static data points, failing to capture the dynamic nature of a patient’s condition.

Chanmin Park, Changho Han, Su Kyeong Jang, Hyungjun Kim, Sora Kim, Byung Hee Kang, Kyoungwon Jung, Dukyong Yoon

J Med Internet Res 2025;27:e59520

Effect of the Yon PD App on the Management of Self-Care in People With Parkinson Disease: Randomized Controlled Trial

Effect of the Yon PD App on the Management of Self-Care in People With Parkinson Disease: Randomized Controlled Trial

In previous studies, a total score of 70 or higher on the SC-CII was reported to indicate a high level of self-care [36,38]. The high validity and reliability of the SC-CII have been reported in previous research [38]. In this study, Cronbach α of the SC-CII was 0.580-0.673 in maintenance, 0.872-0.916 in monitoring, and 0.601-0.725 in management. To measure satisfaction with the Yon PD app, we developed a self-report questionnaire.

JuHee Lee, Subin Yoo, Yielin Kim, Eunyoung Kim, Hyeran Park, Young H Sohn, Yun Joong Kim, Seok Jong Chung, Kyoungwon Baik, Kiyeon Kim, Jee-Hye Yoo

J Med Internet Res 2025;27:e62822

Authors’ Reply: The Importance of Comparing New Technologies (AI) to Existing Tools for Patient Education on Common Dermatologic Conditions: A Commentary

Authors’ Reply: The Importance of Comparing New Technologies (AI) to Existing Tools for Patient Education on Common Dermatologic Conditions: A Commentary

Yet, inherent differences between AI and existing materials inhibit such comparison in the context of our original study. Our pilot study compares AI chatbot responses to potential patient questions, with the primary goal of comparing the utility of three chatbots by assessing their strengths and weaknesses. As suggested by Parker, recommending the usage of AI in place of existing patient education materials would require a larger, more robust investigation that compares AI to existing resources.

Courtney Chau, Hao Feng, Gabriela Cobos, Joyce Park

JMIR Dermatol 2025;8:e72540

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

At the same time, commercial smartphone apps have many limitations in research, especially in collecting physical activity data over a sufficient period [16]. Consequently, the practical application of the research results to patients with cancer in the real world is limited, although e Health tools can provide a potent resource to facilitate personalized and accessible care in daily life [11,12].

Yae Won Tak, Junetae Kim, Haekwon Chung, Sae Byul Lee, In Ja Park, Sei Won Lee, Min-Woo Jo, Jong Won Lee, Seunghee Baek, Yura Lee

J Med Internet Res 2025;27:e52694

Validation of Ecological Momentary Assessment With Reference to Accelerometer Data: Repeated-Measures Panel Study With Multilevel Modeling

Validation of Ecological Momentary Assessment With Reference to Accelerometer Data: Repeated-Measures Panel Study With Multilevel Modeling

The recent development of digital and wearable technologies has made it possible to continuously track PA in real life through sensors embedded in digital devices. This expansion provides researchers with a broader range of choices, as both research-grade and consumer-grade wearables, with varying costs and capacities to measure health conditions, are now available in the market.

Jung Min Noh, SongHyun Im, JooYong Park, Jae Myung Kim, Miyoung Lee, Ji-Yeob Choi

J Med Internet Res 2025;27:e59878

Digital Health Intervention Effect on Older Adults With Chronic Diseases Living Alone: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Digital Health Intervention Effect on Older Adults With Chronic Diseases Living Alone: Systematic Review and Meta-Analysis of Randomized Controlled Trials

This indicates that digital health interventions are effective in maintaining or improving the physical activity levels of older adults living alone. Considering that digital health is effective in improving moderate-to-vigorous physical activity in older adults living alone, the usefulness of digital health in promoting physical activity can be emphasized.

Yoonseo Park, Eun-Ji Kim, Sewon Park, Munjae Lee

J Med Internet Res 2025;27:e63168

Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study

Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study

However, there is a lack of standardized operational definitions for AKI, particularly in retrospective studies, where data collection may not be systematic [11,12]. This inconsistency in defining AKI, especially in terms of baseline serum creatinine (SCr) and recovery criteria for AKD, leads to ambiguity in labeling and makes it difficult to compare the performance of different AI models across studies [13,14]. The variability in baseline SCr determination further complicates the issue [14-16].

Nam-Jun Cho, Inyong Jeong, Se-Jin Ahn, Hyo-Wook Gil, Yeongmin Kim, Jin-Hyun Park, Sanghee Kang, Hwamin Lee

J Med Internet Res 2025;27:e66568

Effect of SMS Ward Round Notifications on Inpatient Experience in Acute Medical Settings: Retrospective Cohort Study

Effect of SMS Ward Round Notifications on Inpatient Experience in Acute Medical Settings: Retrospective Cohort Study

Especially in acute care settings, the participation of patients in ward rounds is likely to be limited not only due to their acute illness and fatigue [6] but also by the acute care context itself and time constraints of the ward staff [7,8].

Jongchan Lee, Soyeon Ahn, Jung Hun Ohn, Eun Sun Kim, Yejee Lim, Hye Won Kim, Hee-Sun Park, Jae Ho Cho, Sun-wook Kim, Jiwon Ryu, Jihye Kim, Hak Chul Jang, Nak-Hyun Kim

JMIR Hum Factors 2025;12:e57470